ai engineer

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artificial intelligence engineer

ai systems architect

<div>
 
 
 Department:
 
 Data &amp; AI
 
 
 
 Location:
 
 UK - London
 
 
 
 
 Description
 
 
 
 Insurance isn&rsquo;t the first industry most engineers think of when they imagine cutting-edge AI work. That&rsquo;s exactly why this role is interesting.
 
 
 CFC&rsquo;s Data &amp; AI unit is building production agentic systems that automate complex underwriting decisions - not chatbots, not copilots bolted onto legacy workflows, but autonomous multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We&rsquo;re using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart of how the business operates. The problems are genuinely hard: ambiguous inputs, high-stakes decisions, and the kind of domain complexity that makes for satisfying engineering.
 
 
 We&rsquo;re also fundamentally rethinking how we deliver software. We&rsquo;re moving toward an agentic-first development model - using AI agents not just in what we build for the business, but in how we build it. The goal is to multiply engineering delivery by an order of magnitude: not by cutting corners or generating throwaway code, but by designing robust systems and processes that let agents handle well-defined work while engineers focus on architecture, design, and the problems that actually require human judgment. This is a deliberate, engineering-led approach. We care about code quality, testability, and maintainability - the agent-generated code meets the same standards as everything else. We expect that a successful candidate will be able to bring their expertise to help guide and refine our agentic development process as it matures - a meaningful opportunity to influence how we work as well as what we ship.
 
 
 This is a Senior Machine Learning / AI Engineer role with genuine technical leadership scope. You&rsquo;ll shape the architecture of AI-driven production microservices, own system design decisions, and work at the intersection of traditional software engineering and applied AI. You&rsquo;ll collaborate closely with engineers, data scientists, and product managers in a team that&rsquo;s small enough for your decisions to matter and ambitious enough for the work to stay interesting.
 
 
 
 About the role
 
 
 
 <ul>
 <li>
 Design, develop, and maintain business-critical AI agent services.
 </li>
 <li>
 Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production.
 </li>
 <li>
 Integrate tests and validation to improve AI agents through evals and monitoring.
 </li>
 <li>
 Work with software engineers and architects to lead system design and architectural decisions.
 </li>
 <li>
 Translate technical specifications into clean, testable, and scalable production code.
 </li>
 <li>
 Work closely with cross-functional teams - engineers, data scientists, product managers - to deliver features on time and to a high standard.
 </li>
 <li>
 Write unit and integration tests to maintain reliability and service correctness.
 </li>
 <li>
 Monitor, troubleshoot, and continuously improve production services.
 </li>
 <li>
 Produce clear, structured documentation for systems, architecture, and processes.
 </li>
 <li>
 Mentor junior engineers through code reviews, best-practice guidance, and knowledge sharing.
 
 
 </li>
 </ul>
 
 About you
 
 
 
 We&rsquo;re looking for an experienced AI or Machine Learning Engineer with strong software engineering fundamentals and a passion for building robust, production-ready AI systems. You&rsquo;ll be someone who enjoys solving complex technical problems, making thoughtful architectural decisions and working on systems where quality, reliability and maintainability really matter.
 
 
 You&rsquo;ll have:
 <ul>
 <li>
 Significant experience building production-grade AI agents or LLM-powered services.
 </li>
 <li>
 Strong Python development experience, ideally with 6+ years of professional software engineering experience.
 </li>
 <li>
 A track record of writing clean, maintainable and high-quality production code.
 </li>
 <li>
 Experience supporting business-critical systems in live production environments.
 </li>
 <li>
 Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures.
 </li>
 <li>
 Experience designing distributed systems, asynchronous microservices and event-driven architectures.
 </li>
 <li>
 Confidence leading system design discussions and making pragmatic architectural trade-offs.
 </li>
 <li>
 Strong cloud experience, ideally within Azure.
 </li>
 <li>
 Experience deploying, monitoring and maintaining ML or LLM models in production.
 </li>
 <li>
 Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management.
 </li>
 <li>
 Hands-on experience orchestrating LLM workflows using frameworks such as LangChain.
 </li>
 <li>
 An interest in how agentic software development can improve engineering delivery without compromising code quality.
 </li>
 <li>
 Strong communication skills and the ability to collaborate effectively in remote or asynchronous environments.
 </li>
 <li>
 An ownership mindset, with the ability to work independently and contribute effectively to shared codebases.
 
 
 </li>
 </ul>
 
 Core Values
 
 
 
 
 Love what you do:
 
 
 We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
 
 
 
 Challenge everything:
 
 
 We&rsquo;re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
 
 
 
 Have fun, be good:
 
 
 Insurance is a serious business, but we don&rsquo;t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
</div>

Senior Machine Learning Engineer

NewRocket

<div>Agentic AI Architect-Anthropic Partnership

Why Us

NewRocket is proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls.

For an Agentic AI Architect, this partnership represents an opportunity to work at the forefront of enterprise AI&mdash;designing scalable, secure, and high-value solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, business processes, and mission-critical workflows.

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.

Travel to clients and conferences as needed.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

The Role

NewRocket is hiring an experienced Agentic AI Architect to support a large global client and help shape, design, and deploy enterprise AI solutions.

This role combines AI/ML architecture, generative AI engineering, data engineering, cloud solution design, and technical leadership. You will be responsible for defining scalable architectures for AI and machine learning applications, including predictive analytics, natural language processing, retrieval-augmented generation (RAG), intelligent automation, and agentic AI systems.

The ideal candidate brings strong hands-on expertise in Python, SQL, cloud services, databases, big-data technologies, and modern machine learning frameworks. You will also have practical experience designing LLM-powered applications that safely connect models to enterprise knowledge, systems, APIs, and workflows.

You will work closely with client stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers to translate business needs into secure, reliable, and production-ready AI solutions.

We are #GoingBeyond. Come join our Crew!

What You Will Be Doing

AI/ML Architecture &amp; Solution Delivery
<ul>
<li>Architect, develop, deploy, and maintain scalable AI and machine learning solutions for enterprise use cases.</li>
<li>Define end-to-end solution architectures spanning data ingestion, data preparation, model selection, orchestration, APIs, workflow integrations, user experiences, monitoring, and governance.</li>
<li>Partner with business and technical stakeholders to identify high-value AI opportunities and translate requirements into actionable technical designs and delivery roadmaps.</li>
<li>Design solutions for predictive analytics, classification, clustering, forecasting, anomaly detection, recommendation, and intelligent automation.</li>
<li>Establish technical standards, reference architectures, reusable patterns, and best practices for enterprise AI delivery.</li>
<li>Lead technical discovery, architecture workshops, design reviews, proof-of-concepts, and client demonstrations.</li>
</ul>
Generative AI, Anthropic &amp; LLM Engineering
<ul>
<li>Design and implement enterprise generative AI applications using Claude, the Anthropic API, and other LLM platforms when appropriate for the business use case.</li>
<li>Apply effective prompt and context-engineering practices, including instruction design, few-shot examples, role definition, structured inputs and outputs, response constraints, and long-context management.</li>
<li>Architect retrieval-augmented generation (RAG) solutions that securely ground model outputs in approved enterprise documents, knowledge bases, databases, and other data sources.</li>
<li>Design document ingestion, chunking, embedding, vector search, retrieval, reranking, citation, and response-generation patterns for enterprise knowledge workflows.</li>
<li>Build and integrate AI capabilities using structured outputs, tool use/function calling, APIs, and workflow orchestration.</li>
<li>Assess and recommend the appropriate balance of LLMs, traditional machine learning, deterministic automation, enterprise search, and human decision-making for each use case.</li>
<li>Stay current on Anthropic platform capabilities, Claude releases, Anthropic implementation guidance, responsible AI principles, and enterprise AI best practices.</li>
<li>Complete relevant Anthropic partner enablement, technical training, and product education as available through NewRocket's partnership.</li>
<li>Travel to clients and conferences as needed.</li>
</ul>
Agentic AI &amp; Workflow Orchestration
<ul>
<li>Architect and implement agentic AI systems that can reason over enterprise context, use authorized tools, execute multi-step tasks, and coordinate work across enterprise applications.</li>
<li>Design AI agents with defined roles, task boundaries, tool permissions, memory and context strategies, approval gates, fallback paths, and escalation mechanisms.</li>
<li>Develop agentic workflows that integrate with ServiceNow, enterprise APIs, cloud services, databases, collaboration platforms, and operational systems.</li>
<li>Implement human-in-the-loop controls for sensitive, high-impact, low-confidence, or exception-based actions.</li>
<li>Design safeguards to prevent unintended tool execution, unauthorized data access, prompt injection, unsafe outputs, and uncontrolled autonomous behavior.</li>
<li>Evaluate agent effectiveness through task-completion rates, quality, reliability, latency, cost, safety, and user-adoption measures.</li>
</ul>
Machine Learning, NLP &amp; Data Science
<ul>
<li>Develop, train, validate, deploy, and monitor machine learning models for predictive analytics, classification, clustering, and related use cases.</li>
<li>Implement AI and ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li>
<li>Develop NLP capabilities using Hugging Face transformer models and cloud AI services for text classification, summarization, sentiment analysis, entity extraction, and document intelligence.</li>
<li>Evaluate, adapt, and where appropriate fine-tune open-source or client-approved models for targeted use cases; apply prompt engineering, RAG, and tool use as preferred strategies when model fine-tuning is not appropriate or available.</li>
<li>Work with large language models for conversational AI, text generation, summarization, knowledge assistance, workflow automation, and decision support.</li>
<li>Build data-processing and feature-engineering pipelines that support reliable model training, testing, deployment, and monitoring.</li>
</ul>
Cloud, Data Engineering &amp; Platform Integration
<ul>
<li>Design and implement AI solutions using cloud platforms including AWS (e.g., SageMaker, Lambda, S3), Microsoft Azure, and Google Cloud Platform (e.g., Vertex AI).</li>
<li>Develop integrations between AI services, ServiceNow, enterprise applications, APIs, identity providers, databases, document repositories, and data platforms.</li>
<li>Build supporting services, APIs, microservices, automation logic, and integration components required to operationalize AI solutions.</li>
<li>Work with big-data technologies such as Apache Spark and Snowflake for large-scale data processing, analytics, and AI data pipelines.</li>
<li>Design and optimize ETL/ELT pipelines for data ingestion, transformation, validation, quality management, governance, and observability.</li>
<li>Use SQL, MySQL, PostgreSQL, MongoDB, and comparable technologies for data modeling, database management, query optimization, and data warehousing.</li>
<li>Apply secure engineering practices for authentication, authorization, secrets management, encryption, logging, error handling, and access controls.</li>
</ul>
AI Quality, Governance &amp; Responsible AI
<ul>
<li>Establish evaluation frameworks, test suites, representative datasets, and regression-testing practices for AI, ML, and agentic solutions.</li>
<li>Measure and optimize solution quality across relevance, accuracy, groundedness, safety, task completion, model behavior, latency, cost, reliability, and user experience.</li>
<li>Implement observability, monitoring, tracing, alerting, and feedback loops for production AI applications.</li>
<li>Define practical governance approaches for data privacy, sensitive-data handling, model access, auditability, model limitations, and responsible AI usage.</li>
<li>Implement controls for role-based access, data permissions, grounded responses, source attribution, output validation, exception handling, and human review.</li>
<li>Document architecture decisions, AI-system behavior, limitations, risk controls, operating procedures, and support requirements.</li>
</ul>
ServiceNow, Automation &amp; Enterprise Experience
<ul>
<li>Design AI-enabled workflow automations and intelligent experiences within ServiceNow and connected enterprise ecosystems.</li>
<li>Support chatbot, virtual-agent, employee-support, customer-service, IT operations, knowledge-management, and workflow-automation use cases.</li>
<li>Integrate AI solutions with ServiceNow capabilities such as workflow automation, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, knowledge management, and enterprise data sources, where applicable.</li>
<li>Develop AI automation solutions using collaboration platforms and cloud AI services, including Microsoft Teams and Azure AI, where appropriate.</li>
<li>Contribute reusable implementation patterns, agent designs, integration components, evaluation assets, and accelerators that strengthen NewRocket's AI Foundry capabilities.</li>
</ul>
Analytics &amp; Visualization
<ul>
<li>Create interactive data visualizations and executive-ready reporting using tools such as Tableau and Power BI.</li>
<li>Develop dashboards and measurement frameworks that help stakeholders understand AI adoption, workflow outcomes, business value, operational performance, and model quality.</li>
<li>Support the definition and tracking of KPIs that demonstrate measurable value from AI-enabled solutions.</li>
</ul>
What You Bring Along
<ul>
<li>10+ years of experience applying AI, machine learning, data science, software engineering, or intelligent automation technologies to practical enterprise use cases.</li>
<li>Strong coding expertise in Python and SQL, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li>
<li>Demonstrated experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions.</li>
<li>Strong understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns.</li>
<li>Hands-on experience with LLM concepts and application-development patterns, including prompt engineering, context management, tokens, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation.</li>
<li>Proficiency with data-science libraries such as Pandas, NumPy, Matplotlib, and Seaborn.</li>
<li>Hands-on experience with cloud platforms such as AWS, Azure, and/or Google Cloud.</li>
<li>Experience with big-data processing and cloud data platforms, including Apache Spark and Snowflake.</li>
<li>NLP experience using Hugging Face, transformer models, cloud AI services, or comparable technologies.</li>
<li>Strong understanding of database management, query optimization, data warehousing, ETL/ELT pipelines, and data-quality practices.</li>
<li>Experience with data visualization tools such as Tableau and Power BI.</li>
<li>Knowledge of responsible AI practices, including privacy, security, human oversight, hallucination mitigation, prompt-injection defenses, model limitations, and governed deployment.</li>
<li>Strong analytical, architectural, problem-solving, communication, and stakeholder-management skills.</li>
<li>Ability to collaborate effectively across client, consulting, engineering, product, data, and AI/ML teams.</li>
<li>Ability to learn and adapt quickly as AI technologies, enterprise requirements, and client needs evolve.</li>
</ul>
Preferred Qualifications

Anthropic &amp; Claude Experience
<ul>
<li>Hands-on experience with Claude, the Anthropic API, Anthropic Console, Claude Code, or Anthropic-focused implementation guidance.</li>
<li>Completion of Anthropic Academy courses, partner enablement, technical training, or equivalent experience building Claude-powered enterprise applications.</li>
<li>Experience using Claude capabilities such as long-context processing, document analysis, tool use, structured outputs, and enterprise knowledge workflows.</li>
<li>Familiarity with Model Context Protocol (MCP) concepts and secure patterns for connecting AI applications to enterprise tools and data sources.</li>
</ul>
Agentic AI &amp; LLM Operations
<ul>
<li>Experience designing AI agents, multi-agent systems, AI orchestration workflows, and human-in-the-loop operating models.</li>
<li>Experience with LLM application frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable frameworks.</li>
<li>Experience with vector databases, semantic retrieval, enterprise search, embeddings, document ingestion, reranking, and RAG evaluation.</li>
<li>Familiarity with AI observability, tracing, prompt/version management, evaluation frameworks, guardrails, model monitoring, and cost optimization.</li>
<li>Experience with MLOps, LLMOps, CI/CD, Docker, Kubernetes, infrastructure as code, and production cloud deployment practices.</li>
</ul>
Education
<ul>
<li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Engineering, or a related technical field; equivalent relevant experience will also be considered.</li>
<li>Advanced degree or relevant AI, cloud, data, ServiceNow, or Anthropic certifications are a plus.</li></ul> 


We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard. We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.</div>

Agentic AI Architect-Anthropic-UK

FalconSmartIT

<div>Job Title : Enterprise Architect - Banking Transformation, Cloud &amp; AI
Job Location :London, UK (4 days per week from office)
Job Type: FTE 
 
Job Description : 
 
About the Role
We are undertaking a significant transformation of the Bank and are reimagining how we build a genuinely modern, intelligent banking platform for the future. This transformation spans Payments, FX, Data, Cloud, and AI, and will redefine both our technology landscape and future operating model.
This is a high-impact leadership role for an experienced Enterprise Architect who has successfully led large-scale banking transformations and can bridge the gap between strategic vision and practical execution. We're not seeking someone who governs architecture from the sidelines. We need a hands-on architectural leader who can shape the future direction of the Bank, challenge traditional thinking, and work closely with engineering and transformation teams to deliver tangible outcomes.
A key aspect of this role is helping to define how emerging technologies, including AI, agentic architectures, intelligent orchestration, and automation, can be leveraged to create the next generation of banking capabilities.
Key Responsibilities
Enterprise Architecture Leadership
<ul><li>Define and own the Bank's end-to-end enterprise architecture strategy and roadmap.</li>
<li>Establish architectural principles, standards, and target-state technology architectures across business and technology domains.</li>
<li>Align technology investments with strategic business objectives and regulatory requirements.</li>
<li>Proven experience leading enterprise architecture functions within banking or financial services.</li>
<li>Demonstrated success delivering large-scale technology transformation programmes.</li>
<li>Deep domain expertise in one or more of:</li>
<li>Banking platforms</li>
<li>Payments</li>
<li>FX and Treasury systems</li>
<li>High-volume transaction processing environments</li>
<li>Strong understanding of both legacy and modern technology estates.</li>
<li>Significant experience designing and implementing:</li>
<li>Event-driven architectures</li>
<li>Distributed systems</li>
<li>Cloud-native solutions</li>
<li>API ecosystems</li>
<li>Experience working within highly regulated environments.</li>
<li>Track record of influencing and partnering with executive-level stakeholders.</li>
</ul>Desired Experience
<ul><li>Experience with multi-cloud environments (Azure, AWS, GCP).</li>
<li>Knowledge of AI, Generative AI, Agentic AI frameworks, and intelligent automation.</li>
<li>Experience defining target operating models and business capability architectures.</li>
<li>Familiarity with data mesh, real-time analytics, and enterprise data platforms.</li>
<li>Understanding of modern banking ecosystem trends, open banking, and embedded finance.</li>
</ul>Skills &amp; Competencies
<ul><li>Strategic thinking with strong execution focus.</li>
<li>Exceptional stakeholder management and influencing skills.</li>
<li>Strong leadership presence and communication abilities.</li>
<li>Commercial and business acumen.</li>
<li>Ability to navigate ambiguity and drive organizational change.</li>
<li>Deep understanding of technology risk, security, and regulatory considerations.</li>
<li>Passion for innovation and the future of AI-enabled banking</li></ul></div>

Enterprise Architect - Banking Transformation, Cloud & AI

Edra

<div>
 
 About Edra
 
 
 
 Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.
 
 
 We're a Series A startup, backed by Sequoia and other leading VC firms, led by Co-Founders who created and led Forward Deployed AI Engineering at Palantir, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.
 
 
 
 The Role
 
 
 
 We're building a learning system that teaches AI agents how enterprises actually work. Our system ingests knowledge bases, conversations, tickets, and system logs, then produces written instructions that agents can execute&ndash;with confidence scoring to know when to automate and when to seek human input.
 
 
 We're looking for AI Engineers who have built complex, production LLM-based systems. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction to their craft.
 
 
 You&rsquo;ll spend most of your time advancing our core learning library and building the harness that powers our platform&rsquo;s agents across all customers. The work spans continuous learning systems, agentic features, human-in-the-loop feedback loops, and agent orchestration.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Build and extend our core context-learning library, turning customer-informed problems into reusable platform capabilities.
 </li>
 <li>
 Design and implement LLM-powered systems and agentic workflows from concept to production
 </li>
 <li>
 Build agentic features for knowledge management&ndash;think agents that can edit, update, and maintain large knowledge bases autonomously
 </li>
 <li>
 Build reliability and confidence systems&ndash;evaluation frameworks, confidence scoring, and logic for when to automate vs. when to escalate to a human
 </li>
 <li>
 Architect async, scalable systems that handle complex AI orchestration
 </li>
 <li>
 Contribute to the direction of our AI strategy and product capabilities
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 You've built complex, production LLM-based systems with real depth&ndash;something with multiple layers of engineering decisions you can walk through in detail
 </li>
 <li>
 You've shipped something meaningful to production and can explain how it evolved
 </li>
 <li>
 You're excited by open-ended problems where the solution might not exist yet
 </li>
 <li>
 You have experience with (or strong interest in) how systems learn and improve over time: human-in-the-loop feedback, prompt optimization and context engineering
 </li>
 <li>
 You have experience building agents and autonomous systems
 </li>
 <li>
 You can navigate between research papers and production code with equal comfort
 </li>
 <li>
 You're a strong communicator who can clearly explain your work to teammates and customers
 </li>
 <li>
 You have 3+ years of professional experience
 
 
 </li>
 </ul>
 Don&rsquo;t meet all of the above traits? We&rsquo;d still love to hear from you. We&rsquo;re looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets.
 
 
 
 Learn More About Edra
 
 
 
 <ul>
 <li>
 Watch our Series A announcement video
 </li>
 <li>
 Read our blog post from our launch
 </li>
 <li>
 Learn more about what we're building
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 Edra offers generous compensation and benefits in both New York &amp; London:
 
 
 <ul>
 <li>
 Competitive base salary &amp; meaningful equity
 </li>
 <li>
 Top tier health, dental, &amp; vision plans:
 </li>
 <ul>
 <li>
 Top plans with 100% premium coverage in the US (and a One Medical membership)
 </li>
 <li>
 Private medical &amp; dental coverage in the UK
 </li>
 </ul>
 <li>
 Flexible paid time off
 </li>
 <li>
 Lunch provided in office most days, snacks &amp; drinks too
 </li>
 <li>
 A stipend to set up your workspace
 
 </li>
 </ul>
 
 A Few Details
 
 
 
 We work together in person five days a week from our offices in the West Village (New York) and Holborn (London).
 
 
 Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.
 
 
</div>

AI Engineer (London)

Cognizant

Cloud Architect (DevSecOps & LLMOps Engineer)
 Location: London, United Kingdom (Hybrid – 50% work from client office)
 Employment Type: Full-time
 Security Clearance: Must hold or be eligible to obtain UK Security Check (SC) Clearance
 About the Role
 As a Cloud Architect (DevSecOps & LLMOps Engineer) , you will make an impact by designing, building, securing, and operating scalable cloud infrastructure and enterprise Generative AI applications that drive automation, observability, and modern LLMOps practices. You will be a valued member of our Cloud & AI Engineering team and work collaboratively with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions using AWS Bedrock and related technologies.
 
In this role, you will: 
Design, implement, and support secure, scalable AWS infrastructure and AI platforms using Terraform, GitHub Actions, Ansible, ECS/Fargate, and AWS native services.
 Build and operationalise enterprise GenAI solutions using Amazon Bedrock, LLMs, RAG pipelines, vector databases, embeddings, chunking strategies, workflow orchestration (DAG/agentic), and AI observability.
 Develop and maintain CI/CD pipelines, Infrastructure as Code, API integrations, cloud security, IAM governance, monitoring, logging, and production BAU support.
 Configure and manage application observability using Datadog (or equivalent), including dashboards, APM, log analytics, infrastructure monitoring, alerting, and operational health reporting.
 Collaborate with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions.
 What You Need to Have to Be Considered
 Strong hands-on experience with AWS services including Amazon Bedrock, ECS/Fargate, Lambda, EC2, API Gateway, VPC, ALB, IAM, CloudWatch, S3, EFS, DynamoDB, and Neptune, alongside Infrastructure as Code using Terraform.
 Strong experience with DevSecOps practices including GitHub Actions, Ansible, Docker, CI/CD automation, security scanning, secrets management, monitoring, logging, and production support.
 Good understanding of LLMOps concepts including LLMs, RAG, embeddings, chunking, vectorisation, vector databases, semantic search, prompt engineering, workflow orchestration (DAG/LangGraph), AI guardrails, and model evaluation.
 Strong experience with API Management platforms such as Amazon API Gateway, Kong, Apigee, or equivalent — with the ability to design, configure, and implement API proxy workflows, authentication, routing, policies, transformations, and API integrations.
 Strong experience with Datadog (or equivalent monitoring platform) for dashboard creation, application monitoring, alert configuration, APM, log analytics, and performance troubleshooting.
 Excellent communication, stakeholder management, and client-facing skills.
 Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
 Must currently reside in the United Kingdom.
 Must be available to start within 4 weeks of receiving an offer.
 Must hold or be eligible to obtain UK Security Check (SC) Clearance.
 These Will Help You Stand Out
 Experience with Kubernetes/EKS, Docker, ServiceNow, Jira, GitHub Runners, CloudFormation, Route 53, WAF, EventBridge, Step Functions, and serverless architectures.
 Hands-on experience with Python development for automation, API integrations, scripting, and cloud-native application development.
 Experience building AI data pipelines, including document ingestion, preprocessing, metadata enrichment, chunking, embedding generation, vector indexing, and retrieval workflows.
 Familiarity with AI prompt development, prompt tuning, prompt templates, and prompt evaluation techniques.
 Exposure to vector databases, OpenSearch, LangChain/LangGraph, knowledge graphs (Neptune), cloud networking, security best practices, cost optimisation, and enterprise production support.
 
Additional eligibility requirements: 
<ul>
<li>Candidates must hold or be eligible to obtain UK Security Check (SC) Clearance</li>
<li>Candidates must be available to start within 4 weeks of receiving an offer.</li>
</ul>
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Cloud Architect

Blue Yonder

<div><h2 class="jobSectionHeader">End-to-End Principal Architect - WMS</h2>
Job Profile Summary 
E2E Principal Architect is a self-driven associate who will lead the end-to-end implementation of large footprint Blue Yonder solutions for Warehouse Management Solutions starting with the overall architecture of the solution, partnering with all key stakeholders to drive the implementation of all the multiple business releases within the program, be the single point of contact for all customer business stakeholders on the overall solution footprint.<h3 class="jobSectionHeader">
Job Description</h3>
Overview
The End-to-End Principal Architect will work within the Consulting Services team at Blue Yonder to lead and manage the end-to-end solution design and implementation of Cognitive Execution Solutions, and Cognitive Warehouse Management Solutions for clients. The End-to-End Principal Architect will be responsible for ensuring project success by effectively communicating with clients, managing project timelines, and leading solution teams as part of a project. They will be accountable for the overall functional and technical designs, implementation and delivery of end-to-end solutions, and will work closely with the clients and the project teams to ensure that the solutions align with the client's business objectives and meet their requirements.
Our current technical environment
We leverage SaaS microservices and various Blue Yonder solutions and integrate with client solutions and landscapes.
What you will do:<ul><li>
Serve as the primary point of contact for clients throughout the project lifecycle</li><li>
Develop and manage project timelines and budgets</li><li>
Lead solution teams and ensure project deliverables meet client expectations</li><li>
Lead integration of the core product to develop solutions utilizing Platform</li><li>
Identify and manage project risks and issues</li><li>
Act as an internal consultant to other teams within Blue Yonder</li><li>
Design and implement end-to-end solutions based on client requirements and best practices</li><li>
Provide functional and technical guidance and mentorship to junior team members</li><li>
Continuously evaluate and improve solution processes and tools utilizing the latest technologies, i.e. Agentic AI, Machine Learning</li><li>
Work closely with the clients and other project teams to ensure that the solutions align with the client's business objectives and meet their technical requirements.</li><li>
Collaborate with the project managers, delivery partners, and other stakeholders to ensure that the solutions are delivered on-time, on-budget, and to the client's satisfaction.</li></ul>
What we are looking for (Team Specific Qualifications &amp; Education):<ul><li>
15 + years of experience in solution architecture and consulting or a related field</li><li>
Expertise in designing and implementing Blue Yonder (micro service based) Warehouse Management solutions</li><li>
Expertise in designing and implementing at least one other Execution solution &ndash; Warehouse Labour Management, Transportation Management, Order and/ or Returns Management</li><li>
Proven experience leading and managing solution projects</li><li>
Strong communication, interpersonal and presentation skills to be able to interact with customer at all levels, from CIO and Senior Supply Chain Leader downward.</li><li>
Ability to think strategically and solve complex problems</li><li>
Strong technical skills in one or more areas such as cloud infrastructure, software development, data engineering, and data analytics.</li><li>
Experience with project management tools and methodologies</li><li>
Strong ability to work in a fast-paced and dynamic environment</li><li>
Strong understanding of the software development life cycle and experience with Agile methodologies.</li><li>
Experience working with Supply Chain, logistics, retail and manufacturing industries would be a plus.</li></ul>
Our Values 
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</div>

Principal Architect (E2E) - WMS

Cartesia

<div><h1 class="jobSectionHeader">About Cartesia</h1>
Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.<h2 class="jobSectionHeader">
The Role</h2>
We're looking for a Product and Research Operations Manager to run the operational backbone of Cartesia's Voice function - supporting voice production for customers, talent sourcing and logistics, and voice delivery for Go-To-Market and Customer Success. You'll work directly alongside our Voice Production Lead and Voice Library Lead, and provide hands-on support across their respective work-streams.
Part of your time will go toward cross-functional ad-hoc operations, including supporting growth initiatives.<h2 class="jobSectionHeader">
Your Impact</h2><ul><li>
Voice Production &amp; Library - Support execution of voice production runs alongside the Voice Production Lead. Over time, you'll own day-to-day production and library health reporting, take on more locales and volume, and build automations to streamline the process.</li><li>
Sourcing &amp; Talent logistics - Support voice sourcing alongside the Voice Library Lead. Build the systems to source, vet, and create voices for the voice library with voice acting talent as well as vendors.</li><li>
Customer Voice Delivery &amp; Enablement - Own customer-facing voice engagements end to end, driving customers to be successful with our models. Drive voice-related GTM enablement.</li><li>
Ad-hoc Strategy and Growth Projects - Support ad-hoc strategy &amp; operations work, including helping run events and marketing initiatives for Cartesia in London. Support Cartesia&rsquo;s growth in international markets on a project by project basis.</li></ul><h2 class="jobSectionHeader">
What We're Looking For</h2><ul><li>
3 - 6 years as an operator at a high-growth tech startup or in strategy consulting (MBB or similar)</li><li>
High agency - a proactive self-starter who can operate autonomously to get things done in ambiguous environments</li><li>
Customer-facing chops, with the ability to drive conversations with executives</li><li>
Semi-technical - comfortable using tools like Cursor, Claude Code, etc to build lightweight systems, and understands core concepts of system design</li><li>
Genuine interest in operating with founder-level hunger, and real enthusiasm for voice and audio technology - you have opinions on it, not just interest</li></ul>
What makes a strong candidate:<ul><li>
Experience in the AI industry, especially in AI Strategy and Operations or Product Operations roles</li><li>
A track record of going out of your way to get things done proactively</li><li>
Builds lightweight systems autonomously</li><li>
Detail-oriented under volume; maintains attention to detail even with large volume of tasks</li><li>
Credible in front of GTM teams and customers without needing a lead in the room</li></ul><h1 class="jobSectionHeader">
More Details</h1>
In-office policy: We&rsquo;re an in-person team based out of offices in San Francisco, London and Bangalore. We love being in the office, hanging out together, and learning from each other every day.
Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don&rsquo;t sacrifice quality or design along the way.
We support each other. We have an open &amp; inclusive culture that&rsquo;s focused on giving everyone the resources they need to succeed.<h1 class="jobSectionHeader">
Our Benefits (US Employees Only)
</h1>Compensation Competitive base salary alongside attractive equity package.
Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
Parental Leave 9 weeks paternity &amp; 12 weeks maternity leave
401(k)
Commuter Allowance A monthly stipend to help you get to and from the office.
Flexible PTO Take as much time as you need to recharge your batteries.
Meals &amp; Snacks Lunch, dinner and plenty of snacks, provided daily.
Your own personal Yoshi<h2 class="jobSectionHeader">
Our Commitment to Equal Opportunity</h2>
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.</div>

Product and Research Operations Manager, Voices

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